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cs.CV2026
SADe: Sparse-Atom Support Decontamination for Few-Shot Segmentation with Weak Support Annotations
Hang Xing, Guangjun Liu, Yan Xia +1
Few-shot segmentation (FSS) commonly assumes clean pixel-level support masks, yet practical support supervision often uses boxes, scribbles, coarse masks, or pseudo-masks. These we…
cs.CV2026
StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
Liqi Jing, Dingming Zhang, Peinian Li +3
We build on the Visual Autoregressive Modeling (VAR) framework and formulate style transfer as conditional discrete sequence modeling in a learned latent space. Images are decompos…